电子学报2018，Vol.46Issue(3)：714-720,7.DOI:10.3969/j.issn.0372-2112.2018.03.029
基于脑电和眼电的运动想象多尺度识别方法研究
Research on EEG and EOG Based Multiscale Recognization Method of Motor Imagery
摘要
Abstract
The accuracy on electroencephalogram (EEG) based motor imagery recognization of different movements of a same limb is low. It constrains the monitor method, which monitor motor imagery training of patients with limb paralysis based on brain computer interface, to be used in clinical. Aiming at the problem, in this paper a new method of multiscale recognization of motor imagery is proposed. It is based on the coupling relationship between eye movement and imagined movement during motor imagery. In this method, first of all EEG is applied to judge whether motor imagery occurs on a large scale, and then combined with the recognization result of electrooculogram (EOG), which changes cooperatively with EEG during the same motor imagery period, the different movements of a same limb is recognized using decision fusion on a finer scale. The results of experiments reveal that the average recognization accuracy of three kinds of movement imagery of the right arm can be promoted from 63. 0％ (only with EEG) to 91. 4％ (with the proposed method). The proposed method may be applied in clinical in the future.关键词
脑电/眼电/运动想象模式识别/监控Key words
electroencephalogram/electrooculogram/recognization of motor imagery/monitor分类
信息技术与安全科学引用本文复制引用
孙曜,文成林,韦巍..基于脑电和眼电的运动想象多尺度识别方法研究[J].电子学报,2018,46(3):714-720,7.基金项目
国家自然科学基金(No.61503123,No.61304186) （No.61503123,No.61304186）
